搜索资源列表
matlab
- 题目:设计二分类数据集合，满足 1 线性可分 2 线性可分但是有离群点 3 线性不可分 将利用神经网络感知器来进行操作. -Title: design binary classification data collection, meet 1 linear separable Two linear separable but there are outliers Three linear inseparable Will use the perceptron neur
Neural-Networks-Control
- 采用单一感知器神经元解决一个简单的分类问题:将二维平面上的四个输入矢量分为两类,其中两个矢量对应的目标值为1,另两个矢量对应的目标值为0-Single perceptron neuron solve a simple classification problem: the four input vectors are divided into two categories on the two-dimensional plane, wherein the two vectors correspo
131848141
- 模式识别线性判别算法，包括感知器算法，最小方差准则分类算法和Widrow-Hoff算法-Pattern recognition linear discriminant algorithms, including perception algorithm, minimum variance criterion classification algorithm and Widrow-Hoff algorithm
qiyiyangbenwucha
- 利用感知器和BP网进行模式识别的基本方法，分类线性不可分样本-The basic method of pattern recognition based on perceptron and BP net, the linear non separable sample
pocket-PLA
- 贪婪感知器算法。R语言实现版本，每次会把最优的分类抓在手上-pocket perceptron learning of algorithm
EXP2
- 利用Matlab神经网络工具箱中感知器函数对二维线性可分的样本进行正确分类。-Use Matlab neural network toolbox Perceptron dimensional linearly separable function correctly classified samples.
Perceptron
- 模式识别中的感知器判别准则，实现分类。Matlab源代码-Pattern Recognition Perceptron criterion and achieve classification. Matlab source code
cooc_feature_matrix
- 在holcon中使用多层次感知器对图像进行分类-completeness check of colored game pieces using MLP classification
ANN
- 采用感知器网络实现分类，二维输入，二维输出-Using sensor networks classification, 2D input, 2D output
test
- 使用matlab] 利用神经网络单层感知器 对图像数字二值化进行判断分类 -Use matlab] single-layer perceptron neural network for digital image binarization judgment Categories
preception
- 模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写-One of the classic pattern recognition algorithm, perception algorithm, used to classify patterns using matlab prepared
Perceptron
- 本实验的目的是学习和掌握两种感知器算法：批处理感知器算法和批处理裕量松弛 算法。感知器算法是通过学习两类已标记的样本，建立一个线性分类器。学习的过程就是求解感知器权系数的过程，人们通过建立一个准则函数J(a),将求解感知器权系数的问题简化为一个标量函数J(a)的极小化问题，即当a为解向量时，J(a)最小。而极小化问题常用梯度下降法来解决。本实验给出了基于梯度下降法的两种感知器算法，介绍了原理并编程实现，最后对两种算法的特点加以比较分析。-The purpose of this study i
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
feller
- 一些图像分割中常用的感知器，这些感知器适用于分类的-Some image segmentation is commonly used in the perceptron, these sensors are applied to the classification of
BP-NN-realization-categorizes
- BP网络实现分类问题；一，问题的提出；根据感知器的的相关理论易知感知器善于解决线性可分；反向传播网络（Back-PropagationN；一个具有r个输入和一个隐含层的神经网络模-The BP network realization categorizes a problem A, the problem puts forward Knows a machine according to the feeling of of the related theory easy to underst
perceptron-algorithm-
- 通过感知器算法分类鸢尾花（三类分类），由于感知器算法是二类分类器，所以三类分类需要两两对比。-Classification of iris by perceptron algorithm (three classifications)Since the perceptron algorithm is a class 2 classifier, three classifications require a pairwise comparison.
Perceptron-numerical-experiment
- 1.设计一个单一感知器解决简单分类问题 2.设计多个感知器神经元解决分类问题，并绘出图像 3.利用标准化感知器学习规则消除奇异样本对训练的影响-Design perceptron to solve classification problems
perceptronClustering
- fisher线性分类，多层感知器非线性分类，K-Means聚类-Fisher linear classification, multilayer perceptron linear classifiers, K-Means Clustering
kogt
- 此为BP感知神经分类器,自己写的,有须要的请下载,很不错的,-This is BP neural classifier perception, write their own, have a need to download, very good,
uskr
- 此为BP感知神经分类器,自己写的,有须要的请下载,很不错的,-This is BP neural classifier perception, write their own, have a need to download, very good,